MCUs provide ML acceleration at the edge
PSoC Edge, a series of MCUs from Infineon, leverages hardware-assisted machine learning (ML) acceleration for responsive compute and control applications. The microcontrollers are based on an AI-capable Arm Cortex-M55 processor with Helium technology that boosts ML/DSP performance. They also employ an Arm Ethos-U55 micro neural processing unit, an Arm Cortex-M33 processor, and Infineon’s NNLite, a low-power hardware accelerator for neural networks used in ML and AI applications.
PSoC Edge devices enable end products to be more intelligent and intuitively usable by improving human-machine interaction and adding contextual awareness. Always-on sensing and response make them well-suited for IoT and industrial use cases, such as smart home, security, wearables, and robotics. On-chip memories include nonvolatile resistive random-access memory (RRAM) and can be expanded through the MCU’s high-speed, secured external memory support.
Infineon’s ModusToolbox software offers a collection of development tools, libraries, and embedded runtime assets. Additionally, the software tools integrate with Imagimob Studio, an edge AI development platform that enables end-to-end ML development.
The PSoC Edge family is available for early access customers now. For more information or to request participation in the early access program, click on the product page link below.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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